Séverine Dubois
- Physiology top 5%
- Molecular Biology
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Co-authors
- Éric RavussinPhilippe FroguelChristian DinaV. RohmerB Guy-GrandKarine ClémentF. IllouzJörg Hager
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (8 papers)Cardiovascular Disease and Adiposity (6 papers)Diabetes Management and Research (6 papers)
- Journals
- Nature GeneticsAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Séverine Dubois
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Physiology 464
- Molecular Biology 396
- Epidemiology 361
- Endocrinology, Diabetes and Metabolism 354
- Genetics 272
Countries citing papers authored by Séverine Dubois
This map shows the geographic impact of Séverine Dubois's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Séverine Dubois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Dubois more than expected).
Fields of papers citing papers by Séverine Dubois
This network shows the impact of papers produced by Séverine Dubois. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Séverine Dubois. The network helps show where Séverine Dubois may publish in the future.
Co-authorship network of co-authors of Séverine Dubois
This figure shows the co-authorship network connecting the top 25 collaborators of Séverine Dubois. A scholar is included among the top collaborators of Séverine Dubois based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Séverine Dubois. Séverine Dubois is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 31 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 30 | |
| 12 | 21 | |
| 13 | 22 | |
| 14 | 42 | |
| 15 | 16 | |
| 16 | 35 | |
| 17 | 139 | |
| 18 | 105 | |
| 19 | 292 | |
| 20 | 26 |
About Séverine Dubois
Séverine Dubois is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Cardiovascular Disease and Adiposity (6 papers) and Diabetes Management and Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (225 citations), Endocrinology, Diabetes and Metabolism (354 citations) and Physiology (464 citations). Séverine Dubois has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Éric Ravussin, Philippe Froguel, Christian Dina, V. Rohmer, B Guy-Grand, Karine Clément, F. Illouz, Jörg Hager, Leonie K. Heilbronn and Arnaud Basdevant. Their work appears in journals such as Nature Genetics, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.